activity
20182022
most citedCausal Fourier Analysis on Directed Acyclic Graphs and Posets

27 citations · 103 across the 9 of their papers we have counts for

collaborators

10 papers

cs.DM2022★ 1 cited

Fast Möbius and Zeta Transforms

Tommaso Pegolotti, Bastian Seifert, Markus Püschel

Möbius inversion of functions on partially ordered sets (posets) is a classical tool in combinatorics. For finite posets it consists of two, mutually inverse, linear…

eess.SP2022★ 27 cited

Causal Fourier Analysis on Directed Acyclic Graphs and Posets

Bastian Seifert, Chris Wendler, Markus Püschel

We present a novel form of Fourier analysis, and associated signal processing concepts, for signals (or data) indexed by edge-weighted directed acyclic graphs (DAGs). This means th…

cs.IT2020★ 15 cited

Discrete Signal Processing on Meet/Join Lattices

Markus Püschel, Bastian Seifert, Chris Wendler

A lattice is a partially ordered set supporting a meet (or join) operation that returns the largest lower bound (smallest upper bound) of two elements. Just like graphs, lattices a…

cs.LG2020

Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases

Chris Wendler, Andisheh Amrollahi, Bastian Seifert +2

Many applications of machine learning on discrete domains, such as learning preference functions in recommender systems or auctions, can be reduced to estimating a set function tha…

eess.SP2020★ 25 cited

Digraph Signal Processing with Generalized Boundary Conditions

Bastian Seifert, Markus Püschel

Signal processing on directed graphs (digraphs) is problematic, since the graph shift, and thus associated filters, are in general not diagonalizable. Furthermore, the Fourier tran…

eess.SP2019★ 12 cited

Dynamical Component Analysis (DyCA) and its application on epileptic EEG

Katharina Korn, Bastian Seifert, Christian Uhl

Dynamical Component Analysis (DyCA) is a recently-proposed method to detect projection vectors to reduce the dimensionality of multi-variate deterministic datasets. It is based on…

math.NA2019

FFT and orthogonal discrete transform on weight lattices of semi-simple Lie groups

Bastian Seifert

We give two algebro-geometric inspired approaches to fast algorithms for Fourier transforms in algebraic signal processing theory based on polynomial algebras in several variables.…

math.NA2018

The discrete cosine transform on triangles

Bastian Seifert, Knut Hüper

The discrete cosine transform is a valuable tool in analysis of data on undirected rectangular grids, like images. In this paper it is shown how one can define an analogue of the d…

eess.SP2018★ 1 cited

Fast cosine transform for FCC lattices

Bastian Seifert, Knut Hüper, Christian Uhl

Voxel representation and processing is an important issue in a broad spectrum of applications. E.g., 3D imaging in biomedical engineering applications, video game development and v…

eess.SP2018★ 22 cited

Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series

Bastian Seifert, Katharina Korn, Steffen Hartmann +1

Multivariate signal processing is often based on dimensionality reduction techniques. We propose a new method, Dynamical Component Analysis (DyCA), leading to a classification of t…